… Deep learning based approaches have been dominating the face recognition field due to
the significant performance … study to evaluate the performance of deep learning based face …

… of a machine learning approach using deep learning for the problem of ARIA and AMD
analysis. We use transfer learning and universal features derived from deep convolutional neural …

… of recently developed deep learning methods for small … , and present major deep learning
techniques, including fusing … the performances of several leading deep learning methods for …

… This review article aims to make a comparative analysis of SSD, Faster… analysis and measuring
the same metrics across all the implementations mentioned, the respective performances …

… This can be worked-around by using more aggressive blocking over output channels which
might result into lower performance when strong scaling the deep learning training tasks as …

… model and bound accuracy for the hard non-convex learning problems [12] (eg, image and
… scale distributed deep learning and thus are the focus of our work. We show our performance …

… In this section, we first evaluate the utility performance of all adversarial attacks and various
defense algorithms. Then, we examine the security performance of all defenses against …

… due to their high performance in recent times. This paper provides a detailed survey of
popular deep learning models that are increasingly applied in sentiment analysis. We present a …

… For brain tumor analysis and classification, the convolution neural network (… deep learning
algorithm. In this work, we present a comparative performance analysis of transfer learning-…

… In this study, we tested 2 machine learning algorithms to assess surgical performance on
labels calibrated across expert raters. The first algorithm transformed video frames into a low-…